CN108720836A - A kind of adnormal respiration alarm detection method and system - Google Patents
A kind of adnormal respiration alarm detection method and system Download PDFInfo
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- CN108720836A CN108720836A CN201710249816.1A CN201710249816A CN108720836A CN 108720836 A CN108720836 A CN 108720836A CN 201710249816 A CN201710249816 A CN 201710249816A CN 108720836 A CN108720836 A CN 108720836A
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
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Abstract
A kind of adnormal respiration alarm detection method of offer of the embodiment of the present invention and system.The method includes：It obtains the hrv parameter, respiration parameter and body for being monitored user and moves parameter；If knowing monitored user's adnormal respiration according to respiration parameter judgement, the pre- alarm of breathing is triggered；Parameter is moved according to respiration parameter and body and carries out sleep analysis, obtains the first analysis result；Parameter is moved according to respiration parameter, body and hrv parameter carries out sleep analysis, obtains the second analysis result；If knowing that monitored user is in autonomous respiration state according to the first analysis result and the judgement of the second analysis result, the pre- alarm of breathing is eliminated.The system is for executing the method.The embodiment of the present invention according to respiration parameter by judging adnormal respiration, the pre- alarm of triggering breathing；Parameter is moved according to respiration parameter, body and hrv parameter obtains the first analysis result and the second analysis result, if judging, being monitored user is in autonomous respiration state, the pre- alarm of breathing is eliminated, to reduce false alarm rate.
Description
Technical field
The present embodiments relate to intelligent testing technology field more particularly to a kind of adnormal respiration alarm detection method and it is
System.
Background technology
People has the time of one third to be spent in sleep, sleep to assess the operating pressure of people, fatigue strength and
The daily lifes situation important in inhibiting such as mental status.Also, for the elderly, in sleep fall ill the case where also when
There is generation, therefore, the monitoring to the vital sign of user in bed is necessary.
Currently, there are many modes monitored to vital sign, such as：Intelligent bracelet and intelligent mattress etc..Wherein intelligent bed
Pad is a kind of unconstrained formula vital sign monitoring device, is widely used in wisdom endowment market, safe photograph is provided for old age user
Shield service.When user is on intelligent mattress, intelligent mattress is able to detect that some vital sign parameters of human body, according to detection
To vital sign parameter may determine that whether exception has occurred.
Wisdom supports parents market both including the foster geriatric nursing home combined of all kinds of doctors, further relates to community treatment center and family endowment
Market.Especially the latter, potential aged family user account for 90% or so of whole elderly population.The work of intelligent mattress is former
Reason:The faint vibrations of mattress equipment acquisition user simultaneously calculate corresponding heart rate/breathing value, then upload a data every 3 seconds
To cloud platform, parameter include heart rate, breathing, body it is dynamic and in bed from bed state etc..The heart rate reference range of normal person is 50-
100 beats/min, breathing reference range is 10-30 beats/min.Cloud platform monitors the vital sign of intelligent mattress user in real time,
Alarm signal is generated when vital sign parameter deviates corresponding reference range, and is pushed on user terminal.Currently, system
Define following abnormality alarming algorithm:
(1) heart rate abnormality alarming:Heart rate value continuously deviates normal range (NR) 3 minutes or more, generates 1 heart rate abnormality alarming；
(2) adnormal respiration alerts:Breathing value continuously deviates normal range (NR) 3 minutes or more, generates 1 adnormal respiration alarm；
Since different user has respective health to be accustomed to, no matter reads a book in bed, see TV, sit in meditation or sleep, life entity
Sign all difference.Especially the autonomous regulation of breathing when, breathing value can be consistently less than 10 beats/min, if calculated according to conventional alarm
Method will trigger 10 false-alarms, so as to cause the high problem of false alarm rate per half an hour.
Invention content
In view of the problems of the existing technology, the embodiment of the present invention provides a kind of adnormal respiration alarm detection method and is
System.
The embodiment of the present invention provides a kind of adnormal respiration alarm detection method, including：
The human parameters for being monitored user is obtained, the human parameters includes：The dynamic ginseng of hrv parameter, respiration parameter and body
Number；
According to the respiration parameter, judge the monitored user whether adnormal respiration, if judging to know described monitored
User's adnormal respiration then triggers the pre- alarm of breathing；
Parameter is moved according to the respiration parameter and the body and carries out sleep analysis, obtains the first analysis result；
Parameter is moved according to the respiration parameter, the body and the hrv parameter carries out the sleep analysis, obtains second
Analysis result；
According to first analysis result and second analysis result, judge the monitored user whether in autonomous
Respiration state eliminates the pre- alarm of the breathing if judging to know that the monitored user is in the autonomous respiration state.
The embodiment of the present invention provides a kind of adnormal respiration alarm detection system, including：
Acquisition module, the human parameters for obtaining monitored user, the human parameters include：Hrv parameter, breathing
Parameter and body move parameter；
Pre- alarm module, for according to the respiration parameter, judge the monitored user whether adnormal respiration, if judgement
Know monitored user's adnormal respiration, then triggers the pre- alarm of breathing；
First analysis module carries out sleep analysis for moving parameter according to the respiration parameter and the body, obtains first
Analysis result；
Second analysis module, for being moved described in parameter and hrv parameter progress according to the respiration parameter, the body
Sleep analysis obtains the second analysis result；
First judgment module is used for according to first analysis result and second analysis result, if judging to know institute
It states monitored user and is in autonomous respiration state, then eliminate the pre- alarm of the breathing.
A kind of adnormal respiration alarm detection method provided in an embodiment of the present invention and system, by being judged according to respiration parameter
When knowing adnormal respiration, the pre- alarm of triggering breathing；Parameter is moved further according to respiration parameter, body and hrv parameter carries out sleep analysis,
Obtain the first analysis result and the second analysis result；It is such as learnt according to the first analysis result and the judgement of the second analysis result monitored
User is in autonomous respiration state, then the pre- alarm of breathing is eliminated, to reduce false alarm rate.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Some bright embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of adnormal respiration alarm detection method flow diagram provided in an embodiment of the present invention；
Fig. 2 is a kind of adnormal respiration alarm detection method flow diagram that another embodiment of the present invention provides；
Fig. 3 is a kind of adnormal respiration alarm detection system structure diagram provided in an embodiment of the present invention；
Fig. 4 is a kind of adnormal respiration alarm detection system structure diagram that another embodiment of the present invention provides；
Fig. 5 is a kind of adnormal respiration alarm detection system entity structural schematic diagram provided in an embodiment of the present invention.
Specific implementation mode
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
The every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
Fig. 1 is a kind of adnormal respiration alarm detection method flow diagram provided in an embodiment of the present invention, as shown in Figure 1,
The method, including：
Step 101：The human parameters for being monitored user is obtained, the human parameters includes：Hrv parameter, respiration parameter and
Body moves parameter；
Specifically, when monitored user is on intelligent mattress, intelligent mattress can by self-contained multiple sensors
To detect that the human parameters of monitored user, wherein human parameters include：Hrv parameter, respiration parameter and body move parameter, can
With understanding, can also there are other parameters, such as body temperature parameter etc., the embodiment of the present invention is not especially limited this.It should
Illustrate, other than intelligent mattress, can measure the device of the above parameter of human body can be with, the embodiment of the present invention to this not
Make specific limit.
Step 102：According to the respiration parameter, judge the monitored user whether adnormal respiration, if judging to know institute
Monitored user's adnormal respiration is stated, then triggers the pre- alarm of breathing；
Specifically, under normal circumstances, people can breathe 10-30 times at one minute, when system is according to the respiration parameter detected
When judging monitored user's adnormal respiration, then the pre- alarm of breathing is triggered, wherein the pre- alarm of breathing is when just for respiration parameter
It is that the monitored user is that exception has occurred, and needs to alert, but only triggers pre- alarm, and there is no send out pre- warning information
Go out.
Step 103：Parameter is moved according to the respiration parameter and the body and carries out sleep analysis, obtains the first analysis result；
Specifically, after triggering breathing alarm in advance, system is moved parameter according to the respiration parameter and body got and is slept
It sleeps and analyzes, the first analysis result is obtained after sleep analysis.Wherein, the sleep point that parameter carries out is moved according to respiration parameter and body
There are many analysis methods, such as：It is (i.e. every to breathe twice if the respiration parameter got breathes continual and steady within a preset period of time
Interval time it is roughly the same, then illustrate that breathing is continual and steady), moved according to the body got the variance of the wave-shape amplitude of parameter come
Judge the state for being monitored user.If wave-shape amplitude mean square deviation/wave-shape amplitude minimum value and wave-shape amplitude mean square deviation/wave-shape amplitude
Both average value simultaneously respectively present raising trend and be increased to respectively be set separately in advance a numerical value even more than, then should
Monitored user is waking state；When wave-shape amplitude mean square deviation/wave-shape amplitude minimum value and wave-shape amplitude mean square deviation/wave-shape amplitude
Both average value drops to the other numerical value being set separately in advance even hereinafter, determining that monitored user is depth respectively
Sleep state.Similarly, according to above-mentioned analysis method, each state of monitored user can be analyzed.
In addition, (i.e. per between breathing twice when if the respiration parameter got breathes continual and steady within a preset period of time
It is roughly the same every the time, then illustrate that breathing is continual and steady), it can also be according within a preset period, detection is monitored
User has several times that body is dynamic, for example, in five minutes, is monitored user's body and moves 10 times (including 10 times) or more, then explanation is monitored
User is in hypophypnosis, is less than 10 times if body is dynamic, is more than or equal to 6 times, then illustrates that being monitored user is in moderate sleep, such as
Fruit body moves number and is less than 6 times, then illustrates that being monitored user is in deep sleep.It is understood that above-mentioned parameter can basis
Actual conditions are adjusted, and the embodiment of the present invention is not especially limited this.
There are other analysis methods it should be noted that moving parameter according to respiration parameter and body and carrying out sleep analysis, this
Inventive embodiments do not describe one by one.
Step 104：Parameter is moved according to the respiration parameter, the body and the hrv parameter carries out the sleep analysis,
Obtain the second analysis result；
Specifically, system moves parameter according to the respiration parameter, the body that get and hrv parameter carries out sleep analysis, according to tune
Grind display, heart rate waveform of the people when sleep state is in autonomous respiration state is different, in sleep state, heart rate waveform compared with
Steadily, in autonomous respiration state, therefore heart rate waveform big rise and fall combines on the basis of respiration parameter and body move parameter
Hrv parameter carries out sleep analysis to monitored user, to obtain the second analysis result.Similarly, according to respiration parameter, body
Dynamic parameter and hrv parameter carry out sleep analysis method also there are many kinds of, such as：Exist in the respiration parameter that respiration parameter is got
Internal respiration in five minutes is continual and steady, and moves number according to the body of the dynamic parameter of the body got and be less than 6 times, if detecting monitored use
The heart rate waveform big rise and fall that the hrv parameter at family is constituted in the preset time period then can determine whether that the monitored user is in clear
The state of waking up.There are other analysis methods, this hair it should be noted that moving parameter according to respiration parameter and body and carrying out sleep analysis
Bright embodiment does not describe one by one.
Step 105：According to first analysis result and second analysis result, whether the monitored user is judged
In autonomous respiration state, if judging to know that the monitored user is in the autonomous respiration state, the breathing is eliminated
Pre- alarm.
Specifically, according to the first analysis result and the second analysis result that are obtained after sleep analysis may determine that by
Monitor whether user is currently in autonomous respiration state, if it is determined that knowing that the monitored user is currently at autonomous regulation of breathing shape
State is then eliminated the breathing triggered before and is alerted in advance, will not send out warning information at this time.
When the embodiment of the present invention according to respiration parameter judgement by knowing adnormal respiration, the pre- alarm of triggering breathing；Further according to
Respiration parameter, body move parameter and hrv parameter carries out sleep analysis, obtain the first analysis result and the second analysis result；Such as basis
First analysis result and the judgement of the second analysis result learn that monitored user is in autonomous respiration state, then eliminate breathing advance notice
It is alert, to reduce false alarm rate.
On the basis of the above embodiments, first analysis result includes：Regain consciousness, hypophypnosis, moderate are slept and deep
Degree sleep, second analysis result include：Awake, the described hypophypnosis, moderate sleep and the deep sleep；
Correspondingly；
It is described according to first analysis result and second analysis result, judge whether the monitored user is in
Autonomous respiration state, including：
If first analysis result is moderate sleep or deep sleep, and second analysis result is awake, then sentences
The monitored user of breaking is in autonomous respiration state, otherwise, described to be monitored for being not at autonomous respiration state.
Specifically, parameter is moved according to respiration parameter and body and carries out the first analysis result obtained after sleep analysis, wherein the
One analysis result includes awake, hypophypnosis, moderate sleep and deep sleep, similarly according to respiration parameter, body move parameter and
Hrv parameter carries out the second analysis result obtained after sleep analysis, and the second analysis result also includes similarly awake, slight
Sleep, moderate sleep and four kinds of situations of deep sleep.If the first analysis result is moderate sleep or is deep sleep, and the
Two analysis results are awake, then can show that the monitored user is in autonomous respiration state, otherwise, then it is assumed that monitored user
It is not at autonomous respiration state.
The embodiment of the present invention is moderate sleep or deep sleep by the first analysis result, and the second analysis result is clear
It wakes up, then judges that being monitored user is in autonomous respiration state, the pre- alarm of breathing is just eliminated at this time, to reduce false alarm rate.
On the basis of the above embodiments, the method further includes：
If judgement knows that the monitored user is not at autonomous respiration state, the pre- alarm of the breathing is sent out.
Specifically, if knowing that monitored user is not on certainly according to the first analysis result and the judgement of the second analysis result
Main respiration state then illustrates that being monitored user probably has occurred exception, at this point, starting the pre- alarm of breathing, carries out at alarm
Reason.
The embodiment of the present invention according to the first analysis result and the judgement of the second analysis result by learning that monitored user does not have
It in autonomous respiration state, is then alerted, while reducing false alarm rate, ensure that the person peace of monitored user
Entirely.
It is described according to the respiration parameter on the basis of the various embodiments described above, judge whether the monitored user exhales
Exception is inhaled, including：
If judgement knows the breathing value of the monitored user within a preset period of time not within a preset range, the quilt
Monitor user's adnormal respiration.
Specifically, the respiration parameter for being monitored user includes breathing value and breathing smoothness within a preset period of time,
Breathing value is equal to respiration rate within a preset period of time, if it is determined that the breathing value within a preset period of time of monitored user
Not within a preset range, such as：Preset range could be provided as 5-35, and preset time period could be provided as 1 minute, that is, if
Monitored user is less than 5 times or is more than 35 times in 1 minute respiration rate, then can temporarily think that exhaling occurs in monitored user
Exception is inhaled, at this point, the pre- alarm of triggering breathing.It should be noted that preset range and preset time period can be according to actual conditions
It is adjusted, details are not described herein again.
The embodiment of the present invention is monitored the respiration parameter of user by detection, when the respiration parameter of user is abnormal,
Then the pre- alarm of triggering breathing moves parameter further according to respiration parameter, body and hrv parameter judges to be monitored whether user is in
Autonomous respiration state eliminates the pre- alarm of breathing, to reduce if judging to know that monitored user is in autonomous respiration state
Accidentally alarm number.
Fig. 2 is a kind of adnormal respiration alarm detection method flow diagram that another embodiment of the present invention provides, such as Fig. 2 institutes
Show, the method includes：
Step 201：Obtain human parameters；The human parameters for being monitored user is obtained, wherein human parameters includes：Breathing ginseng
Number, body move parameter and hrv parameter；
Step 202：The pre- alarm of breathing；When judging to know the monitored user within a preset period of time according to respiration parameter
Breathing value is less than first threshold, then triggers the pre- alarm of breathing；
Step 203：Sleep analysis (breathing, body are dynamic)；Parameter is moved according to respiration parameter and body and carries out sleep analysis, obtains the
One analysis result is deep sleep；
Step 204：Sleep analysis (breathing, body moves and heart rate)；Parameter is moved according to respiration parameter, body and hrv parameter carries out
Sleep analysis, the second analysis result obtained after analysis is awake；
Step 205：Compare；First analysis result and the second analysis result are compared, the result of acquisition is that this is supervised
It surveys user and is in autonomous respiration state；
Step 206：Eliminate pre- alarm；Judge that monitored user is the pre- alarm of elimination after self-service respiration state.
The embodiment of the present invention is monitored the respiration parameter of user by detection, when the respiration parameter of user is abnormal,
Then the pre- alarm of triggering breathing moves parameter further according to respiration parameter, body and hrv parameter judges to be monitored whether user is in
Autonomous respiration state eliminates the pre- alarm of breathing, to reduce if judging to know that monitored user is in autonomous respiration state
Accidentally alarm number.
Fig. 3 is a kind of adnormal respiration alarm detection system structure diagram provided in an embodiment of the present invention, as shown in figure 3,
The system, including：Acquisition module 301, pre- alarm module 302, the first analysis module 303, the second analysis module 304 and first
Judgment module 305, wherein：
Acquisition module 301 is used to obtain the human parameters of monitored user, and the human parameters includes：Hrv parameter is exhaled
It inhales parameter and body moves parameter；Pre- alarm module 302 is used to, according to the respiration parameter, judge whether the monitored user breathes
It is abnormal, if judging to know monitored user's adnormal respiration, trigger the pre- alarm of breathing；First analysis module 303 is used for root
Parameter is moved according to the respiration parameter and the body and carries out sleep analysis, obtains the first analysis result；Second analysis module 304 is used for
Parameter is moved according to the respiration parameter, the body and the hrv parameter carries out the sleep analysis, obtains the second analysis result；
First judgment module 305 is used for according to first analysis result and second analysis result, if judging to know described supervised
It surveys user and is in autonomous respiration state, then eliminate the pre- alarm of the breathing.
Specifically, when monitored user is on intelligent mattress, intelligent mattress can by self-contained multiple sensors
To detect that the human parameters of monitored user, acquisition module 301 obtain the human parameters from intelligent mattress, wherein human body is joined
Number includes：Hrv parameter, respiration parameter and body move parameter, it is to be understood that can also have other parameters, such as body temperature parameter
Deng the embodiment of the present invention is not especially limited this.Under normal circumstances, people can breathe 10-30 times at one minute, when pre- alarm mould
When block 302 judges monitored user's adnormal respiration according to the respiration parameter detected, then the pre- alarm of breathing is triggered, wherein breathing
Pre- alarm is to work as just for respiration parameter to be, which is that exception has occurred, and needs to alert, but only triggering advance notice
Alert, there is no send out warning information.After triggering breathing alarm in advance, the first analysis module 303 is according to the breathing got
Parameter and body move parameter and carry out sleep analysis, and the first analysis result is obtained after sleep analysis.Second analysis module, 304 basis
Respiration parameter, the body got moves parameter and hrv parameter carries out sleep analysis, shows that people is in sleep state and place according to investigation
Heart rate waveform when autonomous respiration state is different, and in sleep state, heart rate waveform is more steady, in autonomous respiration state,
Heart rate waveform big rise and fall, therefore, combined on the basis of respiration parameter and body move parameter hrv parameter to monitored user into
Row sleep analysis, to obtain the second analysis result.First judgment module 305 is according to first point obtained after sleep analysis
Analysis result and the second analysis result may determine that whether monitored user is currently in autonomous respiration state, if it is determined that knowing
The monitored user is currently at autonomous respiration state, then eliminates the breathing triggered before and alert in advance, will not send out alarm at this time
Information.
The embodiment of system provided by the invention specifically can be used for executing the process flow of above-mentioned each method embodiment,
Details are not described herein for function, is referred to the detailed description of above method embodiment.
When the embodiment of the present invention according to respiration parameter judgement by knowing adnormal respiration, the pre- alarm of triggering breathing；Further according to
Respiration parameter, body move parameter and hrv parameter carries out sleep analysis, obtain the first analysis result and the second analysis result；Such as basis
First analysis result and the judgement of the second analysis result learn that monitored user is in autonomous respiration state, then eliminate breathing advance notice
It is alert, to reduce false alarm rate.
On the basis of the above embodiments, first analysis result includes：Regain consciousness, hypophypnosis, moderate are slept and deep
Degree sleep, second analysis result include：Awake, the described hypophypnosis, moderate sleep and the deep sleep；
Correspondingly；
First judgment module, is specifically used for：
If first analysis result is moderate sleep or deep sleep, and second analysis result is awake, then sentences
The monitored user of breaking is in autonomous respiration state, and the pre- alarm of the breathing is eliminated.
Specifically, the first analysis module 303 is according to first obtained after respiration parameter and the dynamic parameter progress sleep analysis of body
Analysis result, wherein the first analysis result includes awake, hypophypnosis, moderate sleep and deep sleep.Likewise, the second analysis
Module 304 moves parameter according to respiration parameter, body and hrv parameter carries out the second analysis result obtained after sleep analysis, and second
Analysis result also includes similarly awake, hypophypnosis, moderate sleep and deep sleep.If the first analysis result is slept for moderate
Dormancy is deep sleep, and the second analysis result is awake, then the first judgment module 305 can obtain at the monitored user
In autonomous respiration state, otherwise, then it is assumed that monitored user is not at autonomous respiration state.
The embodiment of the present invention is moderate sleep or deep sleep by the first analysis result, and the second analysis result is clear
It wakes up, then judges that being monitored user is in autonomous respiration state, the pre- alarm of breathing is just eliminated at this time, to reduce false alarm rate.
On the basis of the above embodiments, Fig. 4 is a kind of adnormal respiration alarm detection that another embodiment of the present invention provides
System structure diagram, as shown in figure 4, the system, including：Acquisition module 301, pre- alarm module 302, the first analysis module
303, the second analysis module 304, the first judgment module 305 and the second judgment module 306, wherein：
If the second judgment module 306 knows that the monitored user is not at autonomous respiration state for judging, by institute
The pre- alarm of breathing is stated to send out.
Specifically, acquisition module 301, pre- alarm module 302, the first analysis module 303, the second analysis module 304 and
One judgment module 305 is consistent with above-described embodiment, and details are not described herein again.If the second judgment module 306 is tied according to the first analysis
Fruit and the judgement of the second analysis result know that monitored user is not on autonomous respiration state, then illustrate to be monitored user that have very much can
Exception can have occurred, at this point, starting the pre- alarm of breathing, carry out alarming processing.
The embodiment of the present invention according to the first analysis result and the judgement of the second analysis result by learning that monitored user does not have
It in autonomous respiration state, is then alerted, while reducing false alarm rate, ensure that the person peace of monitored user
Entirely.
On the basis of the various embodiments described above, the pre- alarm module is specifically used for：
If judgement knows the breathing value of the monitored user within a preset period of time not within a preset range, the quilt
Monitor user's adnormal respiration.
Specifically, the respiration parameter for being monitored user includes breathing value and breathing smoothness within a preset period of time,
Breathing value is equal to respiration rate within a preset period of time, pre- alarm module if it is determined that monitored user in preset time period
Interior breathing value within a preset range, then can not think that adnormal respiration occurs in monitored user temporarily, at this point, triggering breathing
Pre- alarm.It should be noted that pre- range and preset time period can be adjusted according to actual conditions, details are not described herein again.
The embodiment of the present invention is monitored the respiration parameter of user by detection, when the respiration parameter of user is abnormal,
Then the pre- alarm of triggering breathing moves parameter further according to respiration parameter, body and hrv parameter judges to be monitored whether user is in
Autonomous respiration state eliminates the pre- alarm of breathing, to reduce if judging to know that monitored user is in autonomous respiration state
Accidentally alarm number.
Fig. 5 is a kind of adnormal respiration alarm detection system entity structural schematic diagram provided in an embodiment of the present invention, such as Fig. 5 institutes
Show, the system, including：Processor (processor) 501, memory (memory) 502 and bus 503；Wherein,
The processor 501 and memory 502 complete mutual communication by the bus 503；
The processor 501 is used to call the program instruction in the memory 502, to execute above-mentioned each method embodiment
The method provided, such as including：The human parameters for being monitored user is obtained, the human parameters includes：Hrv parameter, breathing
Parameter and body move parameter；According to the respiration parameter, judge the monitored user whether adnormal respiration, if judging to know described
Monitored user's adnormal respiration then triggers the pre- alarm of breathing；Parameter, which is moved, according to the respiration parameter and the body carries out sleep point
Analysis obtains the first analysis result；Parameter is moved according to the respiration parameter, the body and the hrv parameter carries out the sleep point
Analysis obtains the second analysis result；According to first analysis result and second analysis result, the monitored user is judged
Whether autonomous respiration state is in, if judging to know that the monitored user be in the autonomous respiration state, described in elimination
The pre- alarm of breathing.
The present embodiment discloses a kind of computer program product, and the computer program product includes being stored in non-transient calculating
Computer program on machine readable storage medium storing program for executing, the computer program include program instruction, when described program instruction is calculated
When machine executes, computer is able to carry out the method that above-mentioned each method embodiment is provided, such as including：It obtains and is monitored user's
Human parameters, the human parameters include：Hrv parameter, respiration parameter and body move parameter；According to the respiration parameter, institute is judged
Stating monitored user, whether adnormal respiration triggers the pre- alarm of breathing if judging to know monitored user's adnormal respiration；Root
Parameter is moved according to the respiration parameter and the body and carries out sleep analysis, obtains the first analysis result；According to the respiration parameter, institute
It states body and moves parameter and the hrv parameter progress sleep analysis, obtain the second analysis result；According to the first analysis knot
Fruit and second analysis result, judge whether the monitored user is in autonomous respiration state, if judging to know the quilt
Monitoring user is in the autonomous respiration state, then eliminates the pre- alarm of the breathing.
The present embodiment provides a kind of non-transient computer readable storage medium, the non-transient computer readable storage medium
Computer instruction is stored, the computer instruction makes the computer execute the method that above-mentioned each method embodiment is provided, example
Such as include：The human parameters for being monitored user is obtained, the human parameters includes：Hrv parameter, respiration parameter and body move parameter；
According to the respiration parameter, judge the monitored user whether adnormal respiration, if judging to know monitored user's breathing
It is abnormal, then trigger the pre- alarm of breathing；Parameter is moved according to the respiration parameter and the body and carries out sleep analysis, obtains the first analysis
As a result；Parameter is moved according to the respiration parameter, the body and the hrv parameter carries out the sleep analysis, obtains the second analysis
As a result；According to first analysis result and second analysis result, judge whether the monitored user is in from homophony
Breath state eliminates the pre- alarm of the breathing if judging to know that the monitored user is in the autonomous respiration state.
One of ordinary skill in the art will appreciate that：Realize that all or part of step of above method embodiment can pass through
The relevant hardware of program instruction is completed, and program above-mentioned can be stored in a computer read/write memory medium, the program
When being executed, step including the steps of the foregoing method embodiments is executed；And storage medium above-mentioned includes：ROM, RAM, magnetic disc or light
The various media that can store program code such as disk.
The embodiments such as system described above are only schematical, wherein the unit illustrated as separating component
It may or may not be physically separated, the component shown as unit may or may not be physics list
Member, you can be located at a place, or may be distributed over multiple network units.It can be selected according to the actual needs
In some or all of module achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creativeness
Labour in the case of, you can to understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It is realized by the mode of software plus required general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be expressed in the form of software products in other words, should
Computer software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Finally it should be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, it will be understood by those of ordinary skill in the art that：It still may be used
With technical scheme described in the above embodiments is modified or equivalent replacement of some of the technical features；
And these modifications or replacements, various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (8)
1. a kind of adnormal respiration alarm detection method, which is characterized in that including：
The human parameters for being monitored user is obtained, the human parameters includes：Hrv parameter, respiration parameter and body move parameter；
According to the respiration parameter, judge the monitored user whether adnormal respiration, if judging to know the monitored user
Adnormal respiration then triggers the pre- alarm of breathing；
Parameter is moved according to the respiration parameter and the body and carries out sleep analysis, obtains the first analysis result；
Parameter is moved according to the respiration parameter, the body and the hrv parameter carries out the sleep analysis, obtains the second analysis
As a result；
According to first analysis result and second analysis result, judge whether the monitored user is in the autonomous regulation of breathing
State eliminates the pre- alarm of the breathing if judging to know that the monitored user is in the autonomous respiration state.
2. according to the method described in claim 1, it is characterized in that, first analysis result includes：Awake, hypophypnosis,
Moderate is slept and deep sleep, second analysis result include：Awake, the described hypophypnosis, moderate sleep and
The deep sleep；Correspondingly；
It is described according to first analysis result and second analysis result, judge the monitored user whether in autonomous
Respiration state, including：
If first analysis result is moderate sleep or deep sleep, and second analysis result is awake, then judges institute
It states monitored user and is in autonomous respiration state, it is otherwise, described to be monitored for being not at autonomous respiration state.
3. according to the method described in claim 1, it is characterized in that, the method further includes：
If judgement knows that the monitored user is not at autonomous respiration state, the pre- alarm of the breathing is sent out.
4. according to claim 1-3 any one of them methods, which is characterized in that it is described according to the respiration parameter, judge institute
State monitored user whether adnormal respiration, including：
It is described monitored if judgement knows the breathing value of the monitored user within a preset period of time not within a preset range
User's adnormal respiration.
5. a kind of adnormal respiration alarm detection system, which is characterized in that including：
Acquisition module, the human parameters for obtaining monitored user, the human parameters include：Hrv parameter, respiration parameter
Parameter is moved with body；
Pre- alarm module, for according to the respiration parameter, judge the monitored user whether adnormal respiration, if judgement is known
Monitored user's adnormal respiration then triggers the pre- alarm of breathing；
First analysis module carries out sleep analysis for moving parameter according to the respiration parameter and the body, obtains the first analysis
As a result；
Second analysis module, for moving parameter and the hrv parameter progress sleep according to the respiration parameter, the body
Analysis obtains the second analysis result；
First judgment module is used for according to first analysis result and second analysis result, if judging to know the quilt
Monitoring user is in autonomous respiration state, then eliminates the pre- alarm of the breathing.
6. system according to claim 5, which is characterized in that first analysis result includes：Awake, hypophypnosis,
Moderate is slept and deep sleep, second analysis result include：Awake, the described hypophypnosis, moderate sleep and
The deep sleep；Correspondingly；
First judgment module, is specifically used for：
If first analysis result is moderate sleep or deep sleep, and second analysis result is awake, then judges institute
It states monitored user and is in autonomous respiration state, the pre- alarm of the breathing is eliminated.
7. system according to claim 5, which is characterized in that the system also includes：
Second judgment module, if for judging to know that the monitored user is not at autonomous respiration state, by the breathing
Pre- alarm is sent out.
8. according to claim 5-7 any one of them systems, which is characterized in that the pre- alarm module is specifically used for：
It is described monitored if judgement knows the breathing value of the monitored user within a preset period of time not within a preset range
User's adnormal respiration.
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